Paper
24 September 1998 Lexicodes of foot patterns for mine detection
Dan Ashlock, Jennifer L. Davidson
Author Affiliations +
Abstract
This paper presents theory and experiment to perform a pattern recognition task. The task is to detect a mine in visual imagery, using a training algorithm. The marginal statistics for the data windows around potential targets are collected using a lexicode approach. Theoretical results supporting the lexicode's ability to perform such a task are presented. Preprocessing of the data is performed prior to the application of the lexicode. Discussion is given on the theoretical foundations and the preprocessing of the data, with future research activities outlined.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Ashlock and Jennifer L. Davidson "Lexicodes of foot patterns for mine detection", Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); https://doi.org/10.1117/12.323449
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KEYWORDS
Mining

Image processing

Land mines

Data processing

Image filtering

Pattern recognition

Image compression

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